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Effects of climate change and the herbicide diuron on Photosystem II activity of the tropical seagrass Halophila ovalis (NESP 2.1.6, AIMS)

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  • National Environmental Science Program Tropical Water Quality (NESP TWQ) Hub - Funding Program - 2015 - on-going (Dept. of the Environment)
    • Effects of climate change and the herbicide diuron on Photosystem II activity of the tropical seagrass Halophila ovalis (NESP 2.1.6, AIMS)



Identification info
Data identification (MCP)
Citation
Citation
Title  Effects of climate change and the herbicide diuron on Photosystem II activity of the tropical seagrass Halophila ovalis (NESP 2.1.6, AIMS)
Date
Date
Date  2019-01-15
Date type  publication: date identifies when the resource was issued
Cited responsible party
Individual name  Uthicke, Sven, Dr
Organisation name  Australian Institute of Marine Science (AIMS)
Position name  Principal Research Scientist
Role  principalInvestigator: key party responsible for gathering information and conducting research
Contact Information
Contact
Phone
Telephone
Voice  +617 4753 4483
Address
Address
Delivery point  PRIVATE MAIL BAG 3, TOWNSVILLE MAIL CENTRE
City  Townsville
Administrative area  Queensland
Postal code  4810
Country  Australia
Electronic mail address  s.uthicke@aims.gov.au
Cited responsible party
Individual name  Negri, Andrew, Dr
Organisation name  Australian Institute of Marine Science (AIMS)
Position name  Principal Research Scientist
Role  coInvestigator: one of the key parties responsible for gathering information and conducting research
Contact Information
Contact
Phone
Telephone
Voice  +617 4753 4322
Address
Address
Delivery point  PRIVATE MAIL BAG 3, TOWNSVILLE MAIL CENTRE
City  Townsville
Administrative area  Queensland
Postal code  4810
Country  Australia
Electronic mail address  a.negri@aims.gov.au
Other citation details  Additional credit: Ontoria, Yaiza (Uni of Barcelona, Spain), Flores, Florita (AIMS), Collier, Catherine (TropWATER)
Abstract 

The aim of this study was to investigate the effects of the herbicide diuron and climate change on the Photosystem II activity of the seagrass Halophila ovalis. The 3 climate conditions were: ambient (28.5 °C, 398 µatm), 2050 (29.5 °C, 682 µatm) and 2100 (30.5 °C, 873 µatm). This dataset consists of one data file (spreadsheet) from a 2-week experiment, containing 5 diuron concentrations and 3 climate change scenarios. Each tab contains photosynthetic yield data at each time point: 0 d, 2 d, 7 d and 14 d under each of the diuron and climate change treatments. The first 4 tabs are effective quantum yield data and the last tab consists of maximum quantum yield data.

Methods: Approach and experimental design

Seagrasses (H. ovalis) were exposed for 14 days to three different seawater pCO2 and temperature conditions (398 µatm, 28.5 °C, 682 µatm, 29.5 °C and 873 µatm, 30.5 °C) and four elevated concentrations of diuron (0.3, 1, 3 and 10 µg l-1 nominal concentrations), including a solvent control. H. ovalis were placed in custom 3 l acrylic chambers (15 cm diameter x 19 cm height, working volume 2.5 l) in water baths with the appropriate level of pCO2 bubbling in each chamber. Stock solutions of diuron (10 mg l-1) were prepared in milli Q water (0.5 µm) using a < 0.03% w/w ethanol solvent carrier. Diuron was delivered from 60 L header tanks to the experimental chambers using peristaltic pumps (Masterflex L/S and Ismatec IPC 12) for a turnover rate of at least once per day. Three ramets of H. ovalis were placed in each experimental chamber and three independent replicate chambers were used for each diuron concentration and each climate change scenario. Chambers were randomised to prevent any environmental effects associated with the laboratory.

H. ovalis were illuminated over 13h cycles (Aqua Illumination LED Hydra) with ramping up for the first three hours to approximately 200 µmol m-2 s-1 then down to darkness over the last 3 hours. Irradiance was measured with a Licor LI-250A meter with LI-190R quantum sensor (Li-Cor, Lincoln, USA). Parameters (pH, salinity and dissolved oxygen) were measured five times during the duration of the 14 d experiment. Water temperature and pCO2 levels were controlled by a programmable logic controller (PLC) and measured every ten minutes. Salinity was measured via a handheld meter (Horiba LAQUAact PC110), pH was measured with a multimeter (HQ40d equipped with Intellical PHC301 pH electrode (Hach, USA) and oxygen concentration was determined with a handheld meter (HQ30d equipped with Intellical LDO101 oxygen probe (Hach, USA).

Chlorophyll fluorescence (effective quantum yield, deltaF/Fm’) were taken just prior to the start of exposure and at 2 days, 7d and 14d exposure and maximum quantum yields (Fv/Fm) were taken at 14d exposure using an imaging PAM fluorometer (iPAM, WALZ, Germany). Data-MAXI software (Imaging Win, Walz, Germany) was used to select a single area of interest (AOI) on one leaf per ramet. Minimum fluorescence (F with illuminated samples and F0 with dark-adapted samples) was initiated and recorded by applying a weak pulse-modulated red measuring light (650 nm, 0.15 µmol photons m-2s-1). To quantify light adapted maximum fluorescence (Fm’) a short pulse (800 ms) of saturating actinic light (>3000 µmol photons m-2s-1) was applied and the effective quantum yield of PSII calculated from deltaF/Fm’ = (Fm' – F)/Fm'. Actinic light was set to approximately 100 µmol photons m-2s-1 for 3 min to generate a moderate level of photochemical quenching. To calculate the maximum quantum yield of PSII (Fv/Fm), seagrass ramets were dark adapted for approximately 30 min and F0 and Fm measured, as above, from Fv/Fm = (Fm – F0) / Fm.

Pesticide concentrations (2-3 samples) were taken at the start and end of the experiment and analysed by high performance liquid chromatography-mass spectrometry (HPLC-MS/MS). The geometric mean from measured start and end concentrations (time weighted average) was assigned as the ‘actual’ concentration in that sample. The average loss from these ‘actual’ concentrations was then applied to all nominal concentrations to provide estimates of ‘measured’ concentrations used for concentration-response modelling.

Format:

This dataset is presented on one excel spreadsheet containing 5 tabs of photosynthetic yield data over time frames: start of experiment(0 days), 2 days, 7 days, 14 days. Final effective quantum yield data is presented of the final tab 'dark_end'.

Data Dictionary:

PAM data.xlsx

TAB: START OF EXPERIMENT

DATE: date the measurement was taken

CLIMATE CHANGE SCENARIO: Three (3) climate scenarios: AMBIENT(28.5 °C, 398 µatm), 2050 (29.5 °C, 682 µatm), 2100 (30.5 °C, 873 µatm).

DIURON TREATMENT: 0 since it is start of experiment prior to spiking with herbicide

REPLICATE: 3 replicates per climate condition A, B or C

Photosystem II activity of seagrass measurements for photosynthetic yield:

Y(II)1: effective quantum yield

Y(II)2: effective quantum yield

Y(II)3: effective quantum yield

MEAN/CHAMBER: average of Y(II)1, Y(II)2, Y(II)3 for each replicate row

MEAN/TREATMENT: average of MEAN/CHAMBER for each Climate Change Scenario group e.g. When CLIMATE CHANGE SCENARIO= 2050 and DIURON TREATMENT= 10:

average of [MEAN/CHAMBER for REPLICATE A, MEAN/CHAMBER for REPLICATE B, MEAN/CHAMBER for REPLICATE C]= MEAN/TREATMENT (e.g. when CLIMATE CHANGE SCENARIO= 2050 and DIURON TREATMENT= 10)

SE - Standard error [calculated standard deviation of all effective quantum yield measurements for each group, divided (/) by square root of 3]

TABS: 2DAYS, 1WEEK, 2WEEKS, DARK_END

N° PHOTO: photo ID

DATE: date the measurement was taken

CLIMATE CHANGE SCENARIO: 3 climate scenarios AMBIENT(28.5 °C, 398 µatm), 2050 (29.5 °C, 682 µatm), 2100 (30.5 °C, 873 µatm)

DIURON TREATMENT: 5 concentrations 0, 0.3, 1, 3, 10 µg l-1 nominal concentrations

REPLICATE: 3 replicate chambers A, B, C

Photosystem II activity of seagrass measurements for photosynthetic yield:

Y(II) 1: effective quantum yield

Y(II) 2: effective quantum yield

Y(II) 3: effective quantum yield

MEAN/TREATMENT: average of effective quantum yield for each Climate Change Scenario group i.e. when CLIMATE CHANGE SCENARIO= 2050 and DIURON TREATMENT= 0:

average of [REPLICATE A (Y(II)1, Y(II)2, Y(II)3) + REPLICATE B (Y(II)1, Y(II)2, Y(II)3) + REPLICATE C (Y(II)1, Y(II)2, Y(II)3)] = MEAN/TREATMENT (e.g. when CLIMATE CHANGE SCENARIO= 2050 and DIURON TREATMENT= 10)

SE - Standard error [calculated standard deviation of all effective quantum yield measurements for each group, divided (/) by square root of 3]

Percentage of Inhibition for photosynthetic yield relative to MEAN/TREATMENT control (CLIMATE CHANGE SCENARIO = AMBIENT and DIURON TREATMENT = 0)

% Inhibition 1

% Inhibition 2

% Inhibition 3

MEAN INHIBITION/TREATMENT: average of %Inhibition 1, %Inhibition 2, %Inhibition for Climate change scenario, Diuron treatment concentration, Replicates A, B and C

SE – Standard Error for % inhibition

Data Location:

This dataset is filed in the eAtlas enduring data repository at: data\custodian\2016-18-NESP-TWQ-2\2.1.6_Cumulative-impa
cts\data\Halophila-ovalis

Point of contact
Individual name  Uthicke, Sven , Dr
Organisation name  Australian Institute of Marine Science (AIMS)
Position name  Principal Research Scientist
Role  pointOfContact: party who can be contacted for acquiring knowledge about or acquisition of the resource
Contact Information
Contact
Phone
Telephone
Voice  +617 4753 4483
Address
Address
Delivery point  PRIVATE MAIL BAG 3, TOWNSVILLE MAIL CENTRE
City  Townsville
Administrative area  Queensland
Postal code  4810
Country  Australia
Electronic mail address  s.uthicke@aims.gov.au
Resource constraints
Commons License
Current License
Jurisdiction: au Attribution 3.0 Australia Attribution 3.0 Australia
Language  English
Character set  utf8: 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
Topic category
Topic category code  biota
Extent
Extent
Description  Great Barrier Reef, Australia
Geographic element
Polygon
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Temporal element
Temporal Extent (MCP)
Extent
Begin date  2018-06-27T00:00:00
End date  2018-07-11T00:00:00
Distribution and On-line Resource(s)
OnLine resource
OnLine resource  Point of truth URL of this metadata record
OnLine resource
OnLine resource  Link to NESP site for Project 2.1.6
OnLine resource
OnLine resource  eAtlas Web Mapping Service (WMS) (AIMS)
OnLine resource
OnLine resource  Project web site
OnLine resource
OnLine resource  Experiment dataset + Metadata + Photo [Zip 2246 kB]
Data quality info
Data quality
Scope
Scope
Hierarchy level  dataset: information applies to the dataset
Metadata constraints
Commons License
Current License
Jurisdiction: au Attribution 3.0 Australia Attribution 3.0 Australia
Metadata Info
File identifier  f6636322-28d9-47fe-878d-0e70cc7c6920
Metadata language  English
Character set  utf8: 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
Parent identifier  National Environmental Science Program Tropical Water Quality (NESP TWQ) Hub - Funding Program - 2015 - on-going (Dept. of the Environment)
Hierarchy level  dataset: information applies to the dataset
Contact
Individual name  eAtlas Data Manager
Organisation name  Australian Institute of Marine Science (AIMS)
Role  metadataContact: party who can be contacted about the metadata
Contact Information
Contact
Phone
Telephone
Voice  +61 7 4753 4444
Address
Address
Delivery point  PRIVATE MAIL BAG 3, TOWNSVILLE MAIL CENTRE
City  Townsville
Administrative area  Queensland
Postal code  4810
Country  Australia
Electronic mail address  e-atlas@aims.gov.au
Website
OnLine resource  eAtlas portal
Date stamp  2019-01-18T06:25:10
Metadata standard name  Australian Marine Community Profile of ISO 19115:2005/19139
Metadata standard version  1.4
Revision Date  2019-01-18T06:25:10